Sold by: IguazioÂ
Overview
The Iguazio AI Platform provides a complete AI workflow in a single ready-to-use platform that includes all the required building blocks for building, deploying, operationalizing, scaling and de-risking ML and GenAI applications in live business environments.
If you need access to our Enterprise offering please contact us at Iguazio_AWS_Marketplace@iguazio.com or https://www.iguazio.com/contact/ so we can provide a Private Offer.
Highlights
- From POC to production - Get your AI projects out of the lab and into production with full automation and auto-scaling capabilities, as well as governance, guardrails and monitoring.
- LLM Customization - Responsibly fine-tune models with RAG, RAFT and more. Improve model accuracy and performance at minimal cost.
- GPU Provisioning - Optimize GPU resources by scaling usage up and down as needed, and deploy your workloads in any environment (including AWS GovCloud, on-prem or hybrid environments)
Details
Sold by
Categories
Delivery method
Supported services
Delivery option
AWS CloudFormation Stack
Latest version
Operating system
Linux
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 30 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit/hour |
|---|---|---|
Hours | Container Hours | $0.68 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS CloudFormation Stack
Supported services: Learn moreÂ
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Bug fixes and improvements
Additional details
Usage instructions
Refer to the deployment guide for detailed usage instructions.
Resources
Support
Vendor support
The community edition has limited support. To get assistance, join our slack community channel at
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Iguazio
By Dataloop AI/GenAI development platform
By Modal
Top
10
In Feature Engineering, ML Solutions
Top
50
In Data Preparation
Top
10
In Serverless Workloads
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Machine Learning Workflow Automation
Comprehensive AI platform with end-to-end workflow capabilities for building, deploying, and operationalizing machine learning and generative AI applications
Large Language Model Customization
Advanced capabilities for fine-tuning models using techniques like Retrieval-Augmented Generation (RAG) and Retrieval-Augmented Fine-Tuning (RAFT)
GPU Resource Management
Dynamic GPU resource provisioning with scalable and flexible deployment across multiple environments including cloud, on-premises, and hybrid infrastructures
AI Application Governance
Built-in monitoring, guardrails, and governance mechanisms for managing machine learning and generative AI application lifecycles
Multi-Environment Deployment
Supports deployment across diverse computing environments with auto-scaling and automation capabilities
Data Management
Advanced platform for exploring and analyzing unstructured data from diverse sources with automated preprocessing and embeddings
AI Pipeline Orchestration
Drag-and-drop and code-based interface for creating complex AI workflows with data, models, apps, and human feedback integration
Model Management
Capability to use pre-existing AI models, build custom models, deploy to production, and perform versioning, experimentation, and fine-tuning
Enterprise Security Framework
Comprehensive security controls including RBAC, SSO, 2FA, AES-256 encryption, compliance with GDPR, ISO 27001, ISO 27701, and SOC 2 Type II standards
AI Application Development
Function-as-a-service offering enabling custom code development for complex tasks with direct data and model access without infrastructure setup
Serverless Compute
Provides serverless compute infrastructure specifically designed for AI, ML, and data processing workloads
GPU Container Deployment
Enables rapid GPU-enabled container deployment with startup times as low as one second
Infrastructure as Code
Supports deploying Python functions to cloud environments with custom container image and hardware specification definitions
Dynamic Resource Scaling
Automatically scales computational resources up to hundreds of GPUs and down to zero based on workload requirements
Cloud Workload Optimization
Supports complex computational tasks including ML inference, fine-tuning, and batch data processing
Standard contract
No
No
Customer reviews
0 ratings
0 AWS reviews
|
4 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Vaishali R.
Iguazio Review: A Production-First MLOps Platform for Scalable AI Deployment
Reviewed on May 09, 2025
Review provided by G2
What do you like best about the product?
What I like best about Iguazio is its strong focus on production-ready AI. It simplifies the ML lifecycle by integrating real-time data processing, feature engineering, and model deployment in one platform. The built-in feature store, serverless functions, and automated pipeline orchestration make deploying and managing models seamless. It’s especially useful for teams that need to move quickly from development to production without relying on multiple tools or manual steps. Iguazio is truly built for scalable, enterprise-grade AI.
What do you dislike about the product?
Iguazio is complex for beginners and lacks transparent pricing.
What problems is the product solving and how is that benefiting you?
Iguazio solves the problem of slow and fragmented ML deployment by unifying data processing, model training, and real-time serving in one platform. This helps reduce time-to-production, ensures better model monitoring, and improves collaboration between data scientists and DevOps — ultimately making AI projects faster, more reliable, and scalable for enterprise use.
Computer Software
Consolidated MLOps platform ideal for multi-hybrid cloud
Reviewed on Mar 06, 2024
Review provided by G2
What do you like best about the product?
The experience and interface is the same even if it is deployed in various compute environments, so you can combine different cloud or onprem resources in the same dashboard.
The solution team was helping implementation very efficiently.
The solution team was helping implementation very efficiently.
What do you dislike about the product?
There is nothing currently that disturbes me. Additional integrations are always welcome!
What problems is the product solving and how is that benefiting you?
Automation of otherwise manual AI/ML processes, less friction between different roles and handovers
George L.
Powerful MLOpls platform and amazing support
Reviewed on Feb 26, 2024
Review provided by G2
What do you like best about the product?
Iguazio brings super power in the hands of data scientists - with the push of a button, you can leverage your cloud compute for GPU accelerated model training and scale to zero for cost savings once completed. Using Kubeflow based pipelines, Iguazio enables machine learning training and deployment automation, leading to tremendous productivity improvement, and allowing an ML team to scale well beyond its normal capacity. The MLRun library further enhances the team's capabilities by implementing numerous common use cases, such as artifact logging, and experiment tracking. The Iguazio technical support team is second to none - using their deep expertise in Kubernetes, DevOps, machine learning and sofware development, they provide responsive support on a comprehensive list of topics.
What do you dislike about the product?
Troubleshooting can be simplified by making it easier to capture systems logs and share with the support team.
What problems is the product solving and how is that benefiting you?
Iguazio solves many problems for us, among them the most important are ML infrastructure management, ML automation. The benefits are productivity and cost savings.
Industrial Automation
Data science to life
Reviewed on Nov 18, 2021
Review provided by G2
What do you like best about the product?
It seamlessly takes the model to production by simplifying the data science process and saving cost using business innovation across different usecases.
What do you dislike about the product?
Nothing as such disliking factors are there as far as my experience.
What problems is the product solving and how is that benefiting you?
I developed a real time model with the help of Iguazio AI. So I am able to get the model into production in a short span of time added to that they will be providing constant support also.